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1707.08819
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A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets
27 July 2017
P. Chrabaszcz
I. Loshchilov
Frank Hutter
SSeg
OOD
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Papers citing
"A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets"
31 / 131 papers shown
Title
Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training
Diego Granziol
S. Zohren
Stephen J. Roberts
ODL
37
48
0
16 Jun 2020
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
Sheheryar Zaidi
Arber Zela
T. Elsken
Chris Holmes
Frank Hutter
Yee Whye Teh
OOD
UQCV
18
71
0
15 Jun 2020
Multi-fidelity Neural Architecture Search with Knowledge Distillation
I. Trofimov
Nikita Klyuchnikov
Mikhail Salnikov
Alexander N. Filippov
Evgeny Burnaev
32
15
0
15 Jun 2020
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks
Mojtaba Faramarzi
Mohammad Amini
Akilesh Badrinaaraayanan
Vikas Verma
A. Chandar
AAML
26
31
0
14 Jun 2020
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?
Shen Yan
Yu Zheng
Wei Ao
Xiao Zeng
Mi Zhang
SSL
AI4CE
30
99
0
12 Jun 2020
An Introduction to Neural Architecture Search for Convolutional Networks
George Kyriakides
K. Margaritis
AI4CE
23
27
0
22 May 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
Esteban Real
Chen Liang
David R. So
Quoc V. Le
39
220
0
06 Mar 2020
Iterative Averaging in the Quest for Best Test Error
Diego Granziol
Xingchen Wan
Samuel Albanie
Stephen J. Roberts
10
3
0
02 Mar 2020
Learning When and Where to Zoom with Deep Reinforcement Learning
Burak Uzkent
Stefano Ermon
27
66
0
01 Mar 2020
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data
Xi Yan
David Acuna
Sanja Fidler
24
42
0
09 Jan 2020
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search
Xuanyi Dong
Yi Yang
41
695
0
02 Jan 2020
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
Nils Lukas
Yuxuan Zhang
Florian Kerschbaum
MLAU
FedML
AAML
31
144
0
02 Dec 2019
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data
Xinyun Chen
Wenxiao Wang
Chris Bender
Yiming Ding
R. Jia
Bo-wen Li
D. Song
AAML
19
106
0
17 Nov 2019
Robust Training with Ensemble Consensus
Jisoo Lee
Sae-Young Chung
NoLa
19
28
0
22 Oct 2019
ReNAS:Relativistic Evaluation of Neural Architecture Search
Yixing Xu
Yunhe Wang
Avishkar Bhoopchand
Christopher Mattern
A. Grabska-Barwinska
Chunjing Xu
Chang Xu
22
81
0
30 Sep 2019
AutoGAN: Neural Architecture Search for Generative Adversarial Networks
Xinyu Gong
Shiyu Chang
Yi Ding
Zhangyang Wang
GAN
35
263
0
11 Aug 2019
AutoML: A Survey of the State-of-the-Art
Xin He
Kaiyong Zhao
X. Chu
20
1,419
0
02 Aug 2019
A framework for the extraction of Deep Neural Networks by leveraging public data
Soham Pal
Yash Gupta
Aditya Shukla
Aditya Kanade
S. Shevade
V. Ganapathy
FedML
MLAU
MIACV
27
56
0
22 May 2019
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Kibok Lee
Kimin Lee
Jinwoo Shin
Honglak Lee
CLL
29
201
0
29 Mar 2019
Class-incremental Learning via Deep Model Consolidation
Junting Zhang
Jie Zhang
Shalini Ghosh
Dawei Li
Serafettin Tasci
Larry Heck
Heming Zhang
C.-C. Jay Kuo
CLL
13
333
0
19 Mar 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty
Dan Hendrycks
Kimin Lee
Mantas Mazeika
NoLa
17
717
0
28 Jan 2019
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
OODD
31
1,449
0
11 Dec 2018
Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection
Mahdieh Abbasi
Arezoo Rajabi
A. Mozafari
R. Bobba
Christian Gagné
AAML
16
9
0
21 Aug 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee
Kibok Lee
Honglak Lee
Jinwoo Shin
OODD
21
1,994
0
10 Jul 2018
Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness
Carlos Lassance
Vincent Gripon
Antonio Ortega
AAML
24
16
0
24 May 2018
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary
Byeongho Heo
Minsik Lee
Sangdoo Yun
J. Choi
AAML
21
146
0
15 May 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution
T. Elsken
J. H. Metzen
Frank Hutter
131
498
0
24 Apr 2018
TBD: Benchmarking and Analyzing Deep Neural Network Training
Hongyu Zhu
Mohamed Akrout
Bojian Zheng
Andrew Pelegris
Amar Phanishayee
Bianca Schroeder
Gennady Pekhimenko
23
80
0
16 Mar 2018
Training wide residual networks for deployment using a single bit for each weight
Mark D Mcdonnell
MQ
27
71
0
23 Feb 2018
Decoupled Weight Decay Regularization
I. Loshchilov
Frank Hutter
OffRL
36
2,078
0
14 Nov 2017
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
233
2,547
0
25 Jan 2016
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